Acer Nitro AN515-57
Geekbench AI Score
15292
Single Precision Score
19753
Half Precision Score
10262
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 29 2025 02:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Nitro AN515-57 |
| Motherboard | TGL Scala_TLS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5701
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
6847
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
4178
777.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6938
112.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7805
126.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5878
95.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
147377
172.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
255840
298.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
110895
129.9 IPS |
|
|
Object Detection (SP)
|
100% |
7014
556.3 IPS |
|
|
Object Detection (HP)
|
100% |
8531
676.7 IPS |
|
|
Object Detection (Q)
|
89% |
5253
420.5 IPS |
|
|
Face Detection (SP)
|
100% |
15566
185.0 IPS |
|
|
Face Detection (HP)
|
100% |
18456
219.3 IPS |
|
|
Face Detection (Q)
|
97% |
12037
143.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
49558
381.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72846
561.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
28268
227.8 IPS |
|
|
Style Transfer (SP)
|
100% |
224655
288.8 IPS |
|
|
Style Transfer (HP)
|
100% |
408562
525.2 IPS |
|
|
Style Transfer (Q)
|
98% |
163847
211.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28421
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
34194
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17685
654.9 IPS |
|
|
Text Classification (SP)
|
100% |
1950
2.60 KIPS |
|
|
Text Classification (HP)
|
99% |
2302
3.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (Q)
|
60% |
796
17.8 IPS |
